Abdulrahman Alfozan is an engineering lead specializing in large-scale distributed data and ML infrastructure with nine years of experience across startups and hyperscalers. He has driven core data-infra work at Meta—shaping Apache Spark at Facebook, building a high-performance batch inference library for PyTorch, and architecting Spark on Velox—and has since moved into AI agents and data platforms at OpenAI. As a founding engineer at Nash he helped build AI infrastructure for logistics, and his background spans systems work from wireless power at Reach Labs to developer tooling at Microsoft and Akamai. He combines hands-on systems design with product-focused collaboration with data scientists to take pipelines from prototype to production at massive scale. Based in San Francisco, he pairs an MIT CS foundation with a Berkeley Data Science master's, and uniquely bridges low-level execution engines and ML production workflows.
9 years of coding experience
9 years of employment as a software developer
Master's in Data Science, Master's in Data Science at University of California, Berkeley
Computer Science and Engineering, Computer Science and Engineering at Massachusetts Institute of Technology
Contributions:16 commits, 17 pushes, 3 branches in 2 years 5 months
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